Lead Machine Learning Engineer

Job not on LinkedIn

November 20

🏰 Missouri – Remote

Although this job is listed in Missouri, this company may be open to hiring remote in other states.

💵 $119.1k - $220.5k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Centene Corporation

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Healthcare Insurance • Non-profit • Social Impact

Centene Corporation is a leading provider of government-sponsored healthcare services, specializing in delivering affordable and high-quality healthcare solutions. For over 40 years, Centene has focused on transforming the health of communities by expanding access to Medicaid, Medicare, and Health Insurance Marketplace services, as well as serving military communities through the TRICARE program. As the largest Medicaid managed care organization and a key participant in the Marketplace, Centene emphasizes localized healthcare delivery combined with strong partnerships with nonprofit organizations to meet the unique needs of its members. Centene is also committed to corporate sustainability and social responsibility, prioritizing environmental stewardship and ethical governance to enhance the well-being of the communities it serves.

10,000+ employees

Founded 1984

⚕️ Healthcare Insurance

🤝 Non-profit

🌍 Social Impact

📋 Description

• Designs and develops scalable solutions using AI tools and machine-learning models • Performs research and testing to develop machine learning algorithms and predictive models • Utilizes big data computation and storage tools to create prototypes and datasets • Conducts model training and evaluation • Integrates, tests, tunes, and monitors solutions • Leads the design, development, and research around complex Machine Learning (ML) systems, models, and schemes to apply to appropriate datasets for data modeling and statistical analysis • Identifies differences in data distribution that could affect model performance in real-world situations • Analyzes large and complex use cases of ML algorithms and apply findings to enable business decisions by deriving insights through data visualization • Leads the maintenance and support of ML/AI software platforms by reviewing and solving issues and running ML/AI models • Communicates business objectives and develop complex models that help to achieve them, along with metrics to track their progress • Leads the writing of complex software documentation and complex software code to extract data from a variety of databases and data sources • Manages available resources such as hardware, data, and personnel so that deadlines are met and deploy predictive models using established software patterns • Leads the analysis of the ML algorithms that could be used to solve a given problem and rank them by their success probability • Explores and visualizes data to gain an understanding of it and verify data quality, and/or ensure data quality via data cleaning • Analyzes errors of the model and implements strategies to overcome errors

🎯 Requirements

• A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) • 5 – 7 years of related experience • Experience with one or more of the following: C#, Database Design, Java, JavaScript, Machine Learning, Machine Learning Algorithms, Python, R, Software Engineering, SQL, Statistics • Experience with Continuous Integration, Linux, Predictive Modelling • Knowledge of Other: Open CV • Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions • Ability to work independently • Demonstrated analytical skills • Demonstrated project management skills • Demonstrates a high level of accuracy, even under pressure • Demonstrates excellent judgment and decision making skills • Ability to communicate and make recommendations to upper management • Ability to drive multiple projects to successful completion

🏖️ Benefits

• competitive pay • health insurance • 401K and stock purchase plans • tuition reimbursement • paid time off plus holidays • flexible approach to work with remote, hybrid, field or office work schedules